CN111047755A - Road freight vehicle automatic checking and releasing system and method based on multi-information fusion - Google Patents
Road freight vehicle automatic checking and releasing system and method based on multi-information fusion Download PDFInfo
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Abstract
The invention provides a road freight vehicle automatic checking and releasing system and a method based on multi-information fusion, wherein the system comprises an entrance guard, a face recognition device, a TIR electronic tag, a recognizer, a license plate recognition device, a central control management device and a cloud platform; the access control is in communication connection with the central control management device and is used for limiting the passing of the freight car; the face recognition device is in communication connection with the cloud platform and is used for collecting face image information of a driver in real time; the identifier is in communication connection with the TIR electronic tag and is used for reading data of the TIR electronic tag; the TIR electronic tag is used for recording and sending cargo information and TIR check batch information conveyed by the truck; the license plate recognition device is in communication connection with the central control management device and is used for recognizing the license plate number of the truck; the central control management device is also in communication connection with the cloud platform and is used for storing, recording and calling data and managing the passing of the trucks; the cloud platform is used for storing data; by adopting the scheme, the speed of checking and releasing the customs clearance of a normal truck can be effectively accelerated, manual intervention is reduced, the working environment of clearance inspection is improved, and the clearance efficiency of customs is improved.
Description
Technical Field
The invention belongs to the technical field of automatic checking and releasing control of vehicles, and particularly relates to an automatic checking and releasing system of road freight vehicles based on multi-information fusion.
Background
16 months 4 and 4 months in 2018, a customs administration release No. 30 bulletin about the matters related to starting to implement the TIR convention trial in 2018, and the TIR convention implemented in China from 5 months 1 days in 2018 is clear; the TIR convention is used as a cross-border cargo transportation clearance system, so that the clearance time can be effectively reduced, the transportation cost can be saved, and the convenience level can be improved; after the implementation of the 'TIR convention', how to distinguish TIR transportation vehicles from non-TIR transportation vehicles, how to improve the customs clearance efficiency of the TIR transportation vehicles and give full play to the advantages of the international convention, which is a practical problem that needs to be solved urgently in the current customs inspection of vehicles.
Based on the technical problems existing in the customs clearance vehicle inspection, no relevant solution is provided; there is therefore a pressing need to find effective solutions to the above problems.
Disclosure of Invention
The invention aims to provide a road freight vehicle automatic checking and releasing system and method based on multi-information fusion aiming at the defects in the technology, and aims to solve the problem of low clearance detection efficiency of the conventional customs freight car.
The invention provides a road freight vehicle automatic checking and releasing system based on multi-information fusion, which comprises an entrance guard, a face recognition device, a TIR electronic tag, a recognizer, a license plate recognition device, a central control management device and a cloud platform, wherein the entrance guard is connected with the face recognition device through a network; the access control is in communication connection with the central control management device and is used for limiting the passing of the freight car; the face recognition device is in communication connection with the cloud platform and is used for collecting face image information of a driver in real time; the identifier is in communication connection with the TIR electronic tag and is used for reading data of the TIR electronic tag; the TIR electronic tag is used for recording and sending cargo information and TIR check batch information conveyed by the truck; the license plate recognition device is in communication connection with the central control management device and is used for recognizing the license plate number of the truck; the central control management device is also in communication connection with the cloud platform and is used for storing, recording and calling data and managing the passing of the trucks; the cloud platform is used for storing data.
Furthermore, the entrance guard comprises an entrance guard rod mechanism, an entrance guard driving mechanism and a communication module; the entrance guard driving mechanism is in transmission connection with the entrance guard rod mechanism and is used for driving the entrance guard rod mechanism to open or close; the entrance guard driving mechanism is in communication connection with the central control management device through the communication module and used for receiving a control instruction of the central control management device so as to open or close the entrance guard lever mechanism.
Furthermore, the face recognition device comprises a camera, a hardware processor, a face recognition interface and a communication module; the face recognition device is arranged in a truck cab and used for collecting face image information of a driver in real time, modeling a face database through a hardware processor and storing the face image information on the hardware processor; meanwhile, the hardware processor transmits the face image information to the cloud platform for storage through the communication module.
Furthermore, the TIR electronic tag comprises an information input unit, an information storage unit and an information sending unit; the recognizer comprises an antenna, a decoder and a communication module; goods information is stored on the information storage unit through the information input unit in a coding mode; simultaneously, goods information will still store on the cloud platform.
Furthermore, the license plate recognition device comprises a camera, an image processing unit and a communication module; the camera is used for collecting the license plate number of the truck; the image processing unit is used for identifying the wagon license plate number and transmitting the wagon license plate number to the central control management device through the communication module.
Furthermore, the central control management device comprises a central controller, a central control management operation interface, a storage and a communication module; the storage is used for storing license plate information, goods information, driver face image information, driver identity information, truck information, passing places and passing time.
Further, the cloud platform comprises a cloud management system, a server and a communication module; the server is used for storing cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information includes cargo start point information, end point information, kind information, and weight information.
The invention also provides a customs multi-information fusion automatic release control system, which comprises the customs multi-information fusion automatic release control system; further comprising the steps of:
s1: recording cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information into a cloud platform; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information comprises cargo starting point information, cargo end point information, category information and weight information;
s2: the face recognition device starts to be started to acquire face image information and driver identity information of a driver, and the face image information and the driver identity information are transmitted to the cloud platform to be stored;
the license plate recognition device starts to acquire license plate information, and transmits the license plate information to the central control management device for storage through the communication module;
the identifier starts to be started to acquire the cargo information of the truck, and the cargo information is transmitted to the central control management device to be stored;
s3: the central control management device calls the driver face image information and the driver identity information of the license plate number through the cloud platform, and checks the driver identity information, the truck information and the cargo information;
s4: when the driver identity information, the truck information and the cargo information are completely matched; the central control management device controls the entrance guard to open so as to release the truck; when one of the driver identity information, the truck information and the cargo information is not matched, the entrance guard is not opened.
By adopting the automatic checking and releasing system and the method for the road freight car, the information of the customs clearance freight car and the information of a driver can be automatically acquired; the collected truck information and the driver information are combined with the information collection time, the information collection place and other factors in the customs logistics monitoring system, and the automatic checking with the declaration information of goods import and export or transfer is realized through the database system, so that the judgment and execution of whether checking is carried out or not can be carried out in real time; the customs multi-information fusion automatic customs clearance control system and method effectively accelerate the clearance speed of normal trucks, reduce manual intervention, improve the working environment of clearance inspection and improve the clearance efficiency of customs.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The invention will be further explained with reference to the drawings, in which:
FIG. 1 is a schematic diagram of the automatic checking and releasing system for road freight vehicles based on multi-information fusion according to the present invention;
FIG. 2 is a schematic diagram of an automatic checking and releasing system for road freight vehicles based on multi-information fusion according to the present invention;
fig. 3 is a flow chart of the work flow of the automatic checking and releasing system of the road freight vehicle based on multi-information fusion.
In the figure: 1. entrance guard; 101. an access lever mechanism; 102. an access control drive mechanism; 103. a communication module; 2. a truck; 3. a face recognition device; 301. a camera; 302. a hardware processor; 303. a face recognition interface; 304. a communication module; 4. a TIR electronic tag; 401. an information input unit; 402. an information storage unit; 403. an information transmitting unit; (ii) a 5. An identifier; 501. an antenna; 502. a decoder; 503. A communication module; 6. a license plate recognition system; 601. a camera; 602. an image processing unit; 603. a communication module; 7. a central control management system; 701. a central control management operation interface; 702. a reservoir; 703. a communication module; 8. a cloud platform; 801. a cloud management system; 802. a server; 803. and a communication module.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1 to 3, the invention provides an automatic checking and releasing system for road freight vehicles based on multi-information fusion, which comprises an entrance guard 1, a face recognition device 3, a TIR electronic tag 4, a recognizer 5, a license plate recognition device 6, a central control management device 7 and a cloud platform 8; the access control system comprises an access control 1, a central control management device 7 and a central control management device, wherein the access control 1 is in communication connection with the central control management device 7 and is used for limiting the passing of a truck 2; the face recognition device 3 is in communication connection with the cloud platform 8 and is used for collecting face image information of a driver in real time; the identifier 5 is connected with the TIR electronic tag 4 in a communication way and is used for reading the data of the TIR electronic tag 4; the TIR electronic tag 4 is arranged outside a cab of the truck 2 and used for recording and sending information of goods conveyed by the truck 2, TIR batch checking information and other related information; the license plate recognition device 6 is in communication connection with the central control management device 7 and is used for recognizing the license plate number of the truck 2; the central control management device 7 is a customs central control management device; the central control management device 7 is also in communication connection with the cloud platform 8 and is used for storing, recording and calling data and managing the passing of the truck 2; the cloud platform 8 is used for storing data; by adopting the scheme, the customs truck detection release efficiency can be effectively improved.
Preferably, with reference to the above schemes, as shown in fig. 1 to 3, in this embodiment, the door 1 includes a door lever mechanism 101, a door driving mechanism 102, and a communication module 103; the entrance guard driving mechanism 102 is in transmission connection with the entrance guard lever mechanism 101 and is used for driving the entrance guard lever mechanism 101 to open or close so as to release or forbid the truck 2; the entrance guard driving mechanism 102 is in communication connection with the central control management device 7 through the communication module 103, and is used for receiving a control instruction of the central control management device 7 so as to open or close the entrance guard lever mechanism 101.
Preferably, with reference to the above schemes, as shown in fig. 1 to 3, in this embodiment, the face recognition device 3 includes a camera 301, a hardware processor 302, a face recognition interface 303, and a communication module 304; the face recognition device 3 is arranged in a cab of the truck 2 and is used for collecting face image information of a driver in real time; the face recognition device 3 carries out face database modeling through a hardware processor 302 thereof and stores face image information on the hardware processor 302; meanwhile, the hardware processor 302 transmits the facial image information to the cloud platform 8 for storage through the communication module 304.
Preferably, in combination with the above solutions, as shown in fig. 1 to fig. 3, in this embodiment, the TIR electronic tag 4 includes an information input unit 401, an information storage unit 402, and an information sending unit 403; the identifier 5 comprises an antenna 501, a decoder 502 and a communication module 503; the goods information is stored on the information storage unit 402 through the information input unit 401 in a coding mode; meanwhile, the cargo information is stored on the cloud platform 8; the cargo information specifically comprises cargo starting point information, end point information, category information, weight information and the like; cargo information is stored on the information storage unit 402 of the electronic tag 4 through the information input unit 401 in a coded manner, meanwhile, the cargo information is also stored on the server 802 of the cloud platform 8, and the central control management system 7 can call cargo information data from the cloud platform 8.
Preferably, in combination with the above solutions, as shown in fig. 1 to 3, in this embodiment, the license plate recognition device 6 includes a camera 601, an image processing unit 602, and a communication module 603; the camera 601 is used for collecting the license plate number of the truck 2; the image processing unit 602 is configured to identify the license plate number of the truck 2 and transmit the license plate number to the central control management device 7 through the communication module 603; the truck information includes information such as a truck model, a license plate Number, a VIN (Vehicle Identification Number), and the like, and the truck information is stored in the server 802 of the cloud platform 8, and the central control management system 7 can retrieve the truck information data from the cloud platform 8.
Preferably, in combination with the above solutions, as shown in fig. 1 to 3, in this embodiment, the central management device 7 includes a central controller, a central management operation interface 701, a storage 702, and a communication module 703; the storage 702 is used for storing license plate information, cargo information, driver face image information, driver identity information, truck information, passing places and passing time; the central control management operation interface 701 is used for operating a control system; the central controller is used for processing data and controlling the entrance guard driving operation.
Preferably, in combination with the above solutions, as shown in fig. 1 to fig. 3, in this embodiment, the cloud platform 8 includes a cloud management system 801, a server 802, and a communication module 803; the cloud management system 801 is customs pass; the server 802 is used for storing cargo information, truck information, driver face image information, TIR batch checking information and driver identity information; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information comprises cargo starting point information, cargo end point information, category information and weight information; the cloud management system 801 of the cloud platform 8 integrates and matches the driver identity information, the driver face image information, the truck information and the cargo information, so that a corresponding relationship is formed between the information, that is, which vehicle the driver corresponds to and which cargo the vehicle corresponds to.
Accordingly, as shown in fig. 3, the present invention also provides an automatic checking and releasing method for a road freight car, comprising the steps of:
s1: recording cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information into a cloud platform; the driver identity information comprises a name, an identity card and driver license information; the truck information includes a truck model, a license plate Number and a VIN (Vehicle Identification Number); the cargo information comprises cargo starting point information, cargo end point information, category information and weight information;
s2: the face recognition device starts to be started to acquire face image information and driver identity information of a driver, and the face image information and the driver identity information are transmitted to the cloud platform to be stored;
the license plate recognition device starts to acquire license plate information, and transmits the license plate information to the central control management device for storage through the communication module;
the identifier starts to be started to acquire the cargo information of the truck, and the cargo information is transmitted to the central control management device to be stored;
s3: the central control management device calls the driver face image information and the driver identity information of the license plate number through the cloud platform, and checks the driver identity information, the truck information and the cargo information;
s4: when the driver identity information, the truck information and the cargo information are completely matched; the central control management device controls the entrance guard to open so as to release the truck; when one of the driver identity information, the truck information and the cargo information is not matched, the entrance guard is not opened.
Preferably, in combination with the above scheme, in this embodiment, the step S2 specifically includes:
s21: when the truck is started, the face recognition system 3 is started; the face recognition device starts to work at certain time intervals (the time intervals are set artificially), and keeps working for certain time (the time is set artificially); specifically, when the face recognition device starts to be started, a camera of the face recognition device acquires a face image of a driver and identity information of the driver, face database modeling is carried out through a hardware processor of the face recognition device, and the face image information is stored on the hardware processor; meanwhile, the hardware processor transmits the facial image information and the driver identity information to the cloud platform through the communication module for storage; specifically, the camera 301 will shoot the driver, and the hardware processor 302 will perform image processing on the shot face image, so as to identify the face information of the driver, and on the other hand, determine whether the driver is tired.
S22: when the license plate recognition device starts to be started, a camera of the license plate recognition device starts to capture a license plate image of the truck, the truck information is recognized through the image processing unit, and the truck information is transmitted to the central control management device for storage through the communication module; if the truck is not identified, the shooting is continued, if the truck is identified, the image processing unit 602 identifies the license plate through an image processing algorithm, and the identified license plate information is sent to the communication module 703 of the customs central control management system 7 through the communication module 603 and is stored in the storage 702;
s23: when the identifier starts, an antenna of the identifier receives a radio frequency signal sent by the TIR electronic tag information sending unit, cargo information of the truck is obtained through the decoder, and the cargo information is transmitted to the central control management device for storage through the communication module; specifically, if the identifier does not receive the rf signal, the identifier will continue to operate, and if the identifier receives the rf signal, the information will be decoded by the decoder 502 to obtain the cargo information of the truck, and the decoded result will be sent to the communication module 703 of the customs central control management system 7 through the communication module 503 and stored in the storage 702.
Preferably, in combination with the above scheme, in this embodiment, in step S3, the central control management device sends the license plate information to the communication module of the cloud platform through the communication module, so as to call the driver face image information and the driver identity information corresponding to the license plate information, that is, the driver face image information and the identity information identified by the face identification system in step 2 can be called; the communication module 803 of the cloud platform 8 feeds back the information to the communication module 703 of the central control management system 7; the central control management system 7 performs matching analysis on the identity information of the driver, the license plate information and the cargo information; the matching mode is the information corresponding relation of the three information in the step 1, if one information is inconsistent, if a driver is changed, if a truck is changed, if an electronic tag is changed, the step 5 is carried out, and if the information of the three information is completely matched, the next step is carried out.
Preferably, with reference to the foregoing scheme, in this embodiment, in step S4, the central control management device sends the permission granting information to the communication module of the door control, and the door control controls the door control lever mechanism to open through the door control driving mechanism, so as to release the truck; further, when one of the driver identity information, the truck information and the cargo information is not matched with the other information; the customs staff processes the unmatched events and inputs the processing result into the customs central control management system 7 through the customs central control management operation interface 701; after the event is processed, the customs officer stores the face information of the driver, the identity information of the driver, the information of the truck, the information of goods, the occurrence place of the event, the occurrence event of the event, the reason of mismatching of the information and the information of the event processing result in a storage of the central control management system and a server of the cloud platform.
The automatic checking and releasing system of the road freight vehicle based on the multi-information fusion is a subsystem in a customhouse logistics monitoring system; the method has the function of automatically acquiring the information of the customs truck and the information of a driver; the collected truck information and the driver information are combined with the information collection time, the information collection place and other factors in the customs logistics monitoring system, and the automatic checking with the declaration information of goods import and export or transfer is realized through the database system, so that the judgment and execution of whether checking is carried out or not can be carried out in real time; the automatic customs clearance control system effectively accelerates the clearance speed of normal trucks, reduces manual intervention, improves the working environment of clearance inspection and improves the clearance efficiency of customs; when the truck enters the channel and is detected by the inlet induction coil, activating a reader-writer, reading the TIR electronic tag on the truck body by the reader-writer within a distance of 7-10 meters and 0.5 second, and carrying out validity check and judgment on the identity of the truck; the read-write equipment outside the vehicle generally works with a truck information management system in a networking way, and information can be exchanged in real time through the truck information management system; if necessary, the system can send out an instruction to forbid the truck from passing; the read-write equipment outside the truck can also work off-line without networking, reads the information on the TIR electronic tag of the truck, compares the information by utilizing a TIR check batch vehicle type database stored in the truck and judges whether the truck is in the check batch validity period or not; when leaving the monitoring area, the exit induction coil detects the freight car, the content on the display (optional) of the electronic freight car is cleared, the automatic access control lever (optional) is closed, and the data of the freight car entering and exiting is submitted to the information management system.
By adopting the scheme, the train provided with the TIR electronic tag can be accurately and timely identified by the identification system by uniformly managing, registering and issuing the TIR electronic tag to and from the freight train and arranging the RFID identification device at the key access monitoring point, so that the requirements of identification of the state of the freight train and data acquisition are met; the system adopts information technologies such as wireless communication and the like to submit the collected truck information to a management system to complete functions of confirming, inquiring, counting, scheduling and the like of the identity of the truck; meanwhile, the TIR check batch information of the freight car is checked through a wireless communication technology, the TIR transport freight car information is counted and monitored in real time, and the traffic capacity and the customs clearance efficiency of the customs freight car are effectively improved.
The "communication module" described above is comprised of a server, cloud, internet, satellite, Wi-Fi network, cellular network, and any other suitable communication means. Some of the devices, systems, embodiments, and processes use computers. Each of the routines, processes, methods and algorithms described in the preceding sections may be embodied in, and executed in whole or in part automatically by, one or more computers, computer processors or machine-executable code modules configured to execute computer instructions. The code modules may be stored on any type of non-transitory computer readable storage medium or tangible computer storage device, such as a hard disk drive, solid state memory, flash memory, optical disk, and/or the like. The described processes and algorithms may be implemented in part or in whole in application specific circuitry. The results of the disclosed processes and process steps may be stored persistently or otherwise in any type of non-transitory computer memory, such as volatile or non-volatile memory.
The central management operation interface 701 used in the present disclosure may implement operations by using APPs, and the term "APP" refers to a local APP and a mobile cloud APP (and a Web APP). Local applications are installed directly on the remote computing devices, whereby developers create separate application versions for each type of remote computing device (e.g., iphone devices and android devices). The local APP may be stored on the remote computing device off-box, or the local APP may be downloaded from a public or private APP store and installed on the remote computing device. The self-propelled vehicle data associated with the local application may be stored on a remote computing device and/or may be stored remotely and accessed by the local application. Internet connectivity may be used by some instances of applications. Other instances of APP may not use an internet connection. In some embodiments, the APP may run without an internet connection.
Mobile cloud applications are very similar to web-based applications. The main similarity is that both the mobile cloud application and the Web application run on servers external to the remote computing device, and may need to be displayed using a browser on the remote computing device and then use the APP User Interface (UI). The mobile cloud application may be a native application that is rebuilt to run in the mobile cloud; a customized application developed for the mobile device; or a third party application downloaded to the cloud from an external source. Some organizations provide local and mobile cloud versions of their applications. In short, the term "APP" refers to both local APPs and mobile cloud APPs.
None of the steps described herein are required or essential. Any of the steps may be adjusted or modified. Other or additional steps may be used. Any portion of any step, process, structure and/or apparatus disclosed or illustrated in one embodiment, flowchart or example herein may be combined with or used in place of any other portion of any step, process, structure and/or apparatus disclosed or illustrated in a different embodiment, flowchart or example. The embodiments and examples provided herein are not intended to be discrete and separate from each other.
Some of the devices, systems, embodiments, and processes use computers. Each of the routines, processes, methods and algorithms described in the sections above may be embodied in, and executed in whole or in part automatically by, one or more computers, computer processors or machine-executable code modules configured to execute computer instructions. The code modules may be stored on any type of non-transitory computer readable storage medium or tangible computer storage device, such as a hard disk drive, solid state memory, flash memory, optical disk, and/or the like. The described processes and algorithms may be implemented in part or in whole in application specific circuitry. The results of the disclosed processes and process steps may be stored persistently or otherwise in any type of non-transitory computer memory, such as volatile or non-volatile memory.
The various features and processes described above may be used independently of one another or may be combined in various ways. All possible combinations and sub-combinations are within the scope of the present disclosure. Furthermore, certain methods, events, states or processing blocks may be omitted from some implementations. The methods, steps, and processes described herein are also not limited to any particular sequence, and the blocks, steps, or states associated therewith may be performed in other suitable sequences. For example, described tasks or events may be performed in an order different than that specifically disclosed. Multiple steps may be combined in a single block or state. Example tasks or events may be performed in series, in parallel, or in some other manner. Tasks or events may be added to or removed from the disclosed exemplary embodiments. The exemplary systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged within the disclosed exemplary embodiments as compared to the disclosed exemplary embodiments.
Conditional language used herein, unless otherwise specifically stated or otherwise understood in the context of usage, is generally intended to convey that certain embodiments include, but not others include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without author input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment. The terms "comprising," "including," "having," and the like, are synonymous and include the use of open-ended terms, and do not exclude additional elements, features, acts, operations, and the like. Also, the term "or" is used in its inclusive sense (and not in its exclusive sense) such that, when used in connection with a list of elements, for example, the term "or" refers to one, some, or all of the elements in the list. Conjunctive language, such as the phrases "at least one of X", Y, and Z, "unless otherwise indicated, is understood in the context of what is commonly used to convey articles, and terms, etc., may be X, Y, or Z. Thus, such connection language generally does not imply that certain embodiments require at least one of X, Y, and Z to be present.
The term "and/or" means "and" applies to certain embodiments, "or" applies to certain embodiments. Thus, a, B and/or C may be replaced by a, B and C written in one sentence and a, B and C written in another sentence. A, B, and/or C means that some embodiments may include a and B, some embodiments may include a and C, some embodiments may include B and C, some embodiments may include only a, some embodiments may include only B, some embodiments may include only C, and some embodiments may include a, B, and C. The term "and/or" is used to avoid unnecessary redundancy.
While certain exemplary embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the invention disclosed herein. Thus, nothing in the above description is intended to imply that any particular feature, step, module, or block is required or essential. Indeed, the novel methods and systems described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the methods and systems described herein may be made without departing from the spirit of the inventions disclosed herein.
Claims (10)
1. An automatic checking and releasing system of road freight vehicles based on multi-information fusion is characterized by comprising an entrance guard, a face recognition device, a TIR electronic tag, a recognizer, a license plate recognition device, a central control management device and a cloud platform;
the access control is in communication connection with the central control management device and is used for limiting the passing of the freight car;
the face recognition device is in communication connection with the cloud platform and is used for collecting face image information of a driver in real time;
the identifier is connected with the TIR electronic tag in a communication mode and is used for reading data of the TIR electronic tag;
the TIR electronic tag is used for recording and sending cargo information and TIR check batch information conveyed by the truck;
the license plate recognition device is in communication connection with the central control management device and is used for recognizing the license plate number of the truck;
the central control management device is also in communication connection with the cloud platform and is used for storing, recording and calling data and managing the passing of trucks;
the cloud platform is used for storing data.
2. The road freight vehicle automatic checking and releasing system based on multi-information fusion of claim 1, wherein the access control comprises an access control lever mechanism, an access control driving mechanism and a communication module; the entrance guard driving mechanism is in transmission connection with the entrance guard rod mechanism and is used for driving the entrance guard rod mechanism to open or close; the entrance guard driving mechanism is in communication connection with the central control management device through the communication module and is used for receiving a control instruction of the central control management device so as to open or close the entrance guard lever mechanism.
3. The road freight vehicle automatic checking and releasing system based on multi-information fusion as claimed in claim 2, wherein the face recognition device comprises a camera, a hardware processor, a face recognition interface and a communication module; the face recognition device is arranged in the truck cab and used for collecting face image information of a driver in real time, modeling a face database through the hardware processor and storing the face image information on the hardware processor; meanwhile, the hardware processor transmits the facial image information to the cloud platform for storage through the communication module.
4. The road freight vehicle automatic checking and releasing system based on multi-information fusion of the claim 3 is characterized in that the TIR electronic tag comprises an information input unit, an information storage unit and an information sending unit; the recognizer comprises an antenna, a decoder and a communication module; the goods information is stored on the information storage unit through the information input unit in a coding mode; simultaneously, the goods information will also be stored on the cloud platform.
5. The road freight vehicle automatic checking and releasing system based on multi-information fusion of claim 4, wherein the license plate recognition device comprises a camera, an image processing unit and a communication module; the camera is used for collecting the license plate number of the truck; the image processing unit is used for identifying the wagon license plate number and transmitting the wagon license plate number to the central control management device through the communication module.
6. The road freight vehicle automatic checking and releasing system based on multi-information fusion of claim 5, wherein the central control management device comprises a central controller, a central control management operation interface, a storage and a communication module; the storage is used for storing license plate information, goods information, driver face image information, driver identity information, truck information, passing places and passing time.
7. The road freight vehicle automatic checking and releasing system based on multi-information fusion of claim 6, wherein the cloud platform comprises a cloud management system, a server and a communication module; the server is used for storing cargo information, truck information, driver face image information, TIR (total internal reflection) batch checking information and driver identity information; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information includes cargo start point information, end point information, category information, and weight information.
8. The road freight vehicle automatic checking and releasing system based on multi-information fusion is characterized by further comprising the following steps:
s1: recording cargo information, truck information, driver face image information, TIR (total internal reflection) approval information and driver identity information into a cloud platform; the driver identity information comprises a name, an identity card and driver license information; the truck information comprises a truck model, a truck type, a license plate number and a VIN; the cargo information comprises cargo starting point information, cargo end point information, category information and weight information;
s2: starting a face recognition device to acquire face image information and identity information of a driver, and transmitting the face image information and the identity information of the driver to the cloud platform for storage;
the license plate recognition device starts to acquire license plate information, and transmits the license plate information to the central control management device for storage through the communication module;
the identifier starts to be started to acquire the cargo information of the truck, and the cargo information is transmitted to the central control management device to be stored;
s3: the central control management device calls the driver face image information and the driver identity information of the license plate number through a cloud platform, and checks the driver identity information, the truck information and the cargo information;
s4: when the driver identity information, the truck information and the cargo information are completely matched; the central control management device controls the entrance guard to open so as to release the truck; and when one of the driver identity information, the truck information and the cargo information is not matched, the entrance guard is not opened.
9. The road cargo vehicle automatic check-releasing system based on multi-information fusion according to claim 8, wherein the step S2 specifically comprises:
s21: when the face recognition device starts to be started, a camera of the face recognition device acquires face image information and identity information of a driver, face database modeling is carried out through a hardware processor of the face recognition device, and the face image information is stored on the hardware processor; meanwhile, the hardware processor transmits the facial image information and the driver identity information to the cloud platform through the communication module for storage;
s22: when the license plate recognition device starts to be started, a camera of the license plate recognition device starts to capture a license plate image of a truck, the truck information is recognized through the image processing unit, and the truck information is transmitted to the central control management device for storage through the communication module;
s23: when the recognizer starts, the antenna of the recognizer receives the radio frequency signal sent by the TIR electronic tag information sending unit, the goods information of the truck is obtained through the decoder, and the goods information is transmitted to the central control management device for storage through the communication module.
10. The road freight vehicle automatic checking and releasing system based on multi-information fusion of claim 8, wherein in the step S3, the central control management device sends license plate information to a communication module of a cloud platform through the communication module to call driver face image information and driver identity information corresponding to the license plate information;
in the step S4, the central control management device sends the permission information to the communication module of the door control, and the door control controls the opening of the door control lever mechanism through the door control driving mechanism to release the truck; and the number of the first and second groups,
when one of the driver identity information, the truck information and the cargo information is not matched; and the customs staff processes the unmatched event and stores the face information of the driver, the identity information of the driver, the information of the truck, the cargo information, the event occurrence place, the event occurrence event, the information unmatched reason and the event processing result information in a storage of the central control management system and a server of the cloud platform.
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Application publication date: 20200421 |